ETL Developer

- Position: ETL Developer (SQL Data Modelling + Cloud) - Experience: 7+ Years (Relevant Experience Mandatory) - CTC: Up to 28 LPA - Interview Mode: Walk-In & Virtual - Interview Date: 20th June 2026 - Location: Bangalore - Job Level: JL 5B - Job Code: JC - 246990 - Relocation - Acceptable - Education - Technical background - NP - Immediate to 30Days - IC ROLE - No: of openings - 5 Key Responsibilities:Data Modelling - Develop and maintain robust data models for enterprise reporting and analytics. - Design relational and dimensional database structures. - Create and optimise SQL queries, stored procedures, views, functions, and indexing strategies. - Perform database normalisation and schema design activities. - Work with large datasets and ensure optimal database performance. - Implement Star Schema, Snowflake Schema, and dimensional modelling methodologies. ETL Development - Design, develop, and support ETL processes for data extraction, transformation, and loading. - Build scalable ETL workflows to integrate data from multiple source systems. - Monitor, troubleshoot, and optimize ETL jobs to ensure data accuracy and reliability. - Collaborate with business and technical stakeholders to understand data integration requirements. Cloud Data Engineering - Design and implement cloud-based data solutions using Azure, AWS, or GCP. - Develop and maintain data pipelines using cloud-native services such as Azure Data Factory (ADF), AWS Glue, etc. - Work with Data Lakes, Blob Storage, Amazon S3, and cloud data warehouses. - Ensure cloud data solutions are scalable, secure, reliable, and cost-efficient. - Monitor and optimize cloud workloads and data processing pipelines. Required Skills Data Modelling (Mandatory) - Strong expertise in SQL development and database performance tuning. - Hands-on experience with data modelling tools such as ER/Studio, ERWin, SQL Server Management Studio, Lucidchart, etc. - Expertise in Database Normalization, Relational Modelling, and Schema Design. - Experience with Star Schema, Snowflake Schema, and Dimensional Modelling. ETL Development (Preferred) - Strong hands-on experience with ETL tools such as SSIS and Azure Data Factory (ADF). - Expertise in designing, developing, and managing ETL workflows. Cloud Technologies (Optional) - Minimum 4 years of experience in Azure, AWS, or GCP. - Experience with cloud-based ETL services, Data Lakes, and Data Warehousing solutions. - Strong understanding of cloud architecture, security, scalability, and performance optimizatio Skills: Etl, Data Modelling, Sql, Cloud Experience: 8.00-15.00 Years